Adaptive Coded Modulation With Receive Antenna Diversity and Imperfect Channel Knowledge at Receiver and Transmitter

Abstract

We analyze and optimize the performance of a trellis-coded modulation system where receive antenna diversity is implemented. The adaptive coded modulation scheme alone is a promising tool to combat fading and it improves the spectral efficiency in mobile communications. The improvement can be even higher when we have multiple receiver antennas. The analysis is done in the presence of both estimation and prediction errors. Independent Rayleigh fading on each subchannel is considered, and maximum ratio combining is employed on the receiver side. As expected, the average spectral efficiency increases, while bit error rate is always fulfilled.

Performance analysis of adaptive modulation and transmit antenna selection with channel prediction errors and feedback delay

“…This is similar to the condition in (23) and thus the cross-over threshold SNRs which satisfy (26) can be obtained similarlŷ…”

Closed-form analysis of adaptive coded modulation over Rician shadowed fading channels

“…Application to adaptive 4D trellis coding: To illustrate the utility of the derived ASE and ABER closed-form expressions, the ACM scheme reported in [5] is analysed. Let us consider the first transmission modes (M ¼ 5) corresponding to the CBER plotted in [5, Fig.…”

“…In this Letter, closed-form expressions are derived for the average spectral efficiency (ASE) and the average BER (ABER) of ACM over Rician shadowed fading channels. The ASE expression is exact, while the ABER expression is an approximation which relies on the exponential-type fitting for the conditional BER (CBER) [5]. These novel expressions are given in terms of the bivariate confluent hypergeometric function F 2 [6, Section 9.26] and reduce to elementary expressions when the Rician shadowed shaping parameter is a nonnegative integer number.…”

“…represents the probability density function (PDF) of the instantaneous SNR. Our ABER analysis is based on the following well-known assumption for the CBER of the ACM scheme [5] …”

Capacity maximisation in eigen-multiple-input multiple-output using adaptive modulation and Reed–Solomon coding

“…Here, the total power at the transmitter is fixed for each MIMO channel realisation, which better suits regulatory arrangements for maximum allowable transmit power; whereas in [4 -9], variable power transmission is considered (at each channel realisation, the power at the transmitter changes according to the channel conditions although the average transmit power is fixed). To date, the published schemes for variable transmit power are mostly designed for single antenna systems channels as in [4][5][6], and singleinput multiple-output systems as in [7,8]. With eigen-MIMO, the challenging problem of power allocation over eigenchannels arises.…”